Harrison Kim

According to our database, Harrison Kim authored at least 6 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SynSAM: a hybrid synchronous learning framework with knowledge retention for prostate zonal segmentation leveraging the segment anything model.

Chetana Krishnan, Ezinwanne Onuoha, Alex Ling Yu Hung, Kyung Hyun Sung, Harrison Kim

Medical Biol. Eng. Comput., April, 2026

Data-driven analysis of usage-feature interactions for new product design.

Seyoung Park, Harrison Kim

Expert Syst. Appl., 2026

2025

AirSeg: Learnable Interconnected Attention Framework for Robust Airway Segmentation.

Chetana Krishnan, Shah Hussain, Denise Stanford, Venkata Sthanam, Sandeep Bodduluri, S. Vamsee Raju, Steven M. Rowe, Harrison Kim

J. Imaging Inform. Medicine, 2025

2023

Multimodal Wildland Fire Smoke Detection.

Jaspreet Kaur Bhamra, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim, Chris Schmidt, Chris Arends, Jessica Block, Ismael Pérez, Daniel Crawl, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen

Remote. Sens., 2023

2022

Multimodal Wildland Fire Smoke Detection.

Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen

CoRR, 2022

2021

GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus.

Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021